Math Problem Statement

Suppose X is the maximum number of consecutive heads in five tosses of a coin, which can be anything between 1 and 5. Then P(X=3) is equal to______.

Solution

To solve for P(X=3)P(X = 3), we need to determine the probability that the maximum number of consecutive heads in five tosses of a fair coin is exactly 3.

Step 1: Total Possible Outcomes

The total number of outcomes when tossing a fair coin 5 times is: 25=322^5 = 32 Each sequence consists of heads (H) and tails (T).

Step 2: Count of Sequences where Maximum Consecutive Heads is 3

To satisfy X=3X = 3, we need sequences where:

  • There is at least one sequence of exactly 3 consecutive heads.
  • No sequence of heads contains more than 3 consecutive heads.

Cases to Consider

We will count the valid sequences that have exactly 3 consecutive heads.

  1. Three heads at the start: The sequence is HHHHHH followed by two additional flips. To ensure the maximum is exactly 3, at least one of the remaining flips must be tails.

    • Possible sequences: HHHTT,HHHTH,HHHHTHHH TT, HHH TH, HHH HT
    • Count: 3
  2. Three heads in the middle: The sequence is THHHTHHH followed by one additional flip or one flip before HHHHHH.

    • Possible sequences: THHHT,THHHHTHHH T, THHH H or THHHT,HHHHTT HHH T, H HHH T with exactly 3 heads.
    • Count: 4 (2 from each side)
  3. Three heads at the end: The sequence starts with two flips followed by HHHHHH. To ensure the maximum is exactly 3, at least one of the first two flips must be tails.

    • Possible sequences: TTHHH,THHHH,HTHHHTT HHH, TH HHH, HT HHH
    • Count: 3

Thus, the total number of valid sequences where the maximum number of consecutive heads is exactly 3 is: 3+4+3=103 + 4 + 3 = 10

Step 3: Probability

Now, the probability is the ratio of favorable outcomes (10) to the total number of outcomes (32): P(X=3)=1032=516P(X = 3) = \frac{10}{32} = \frac{5}{16}

Thus, the probability P(X=3)P(X = 3) is 516\frac{5}{16}.


Would you like further details or clarification on any step?

Here are 5 related questions for further exploration:

  1. What is P(X=4)P(X = 4)?
  2. How does the probability change if the number of coin tosses increases to 6?
  3. How can you generalize this method to find P(X=k)P(X = k) for any number of tosses?
  4. What is the expected value of XX for 5 coin tosses?
  5. What is the probability that there are no consecutive heads in 5 tosses?

Tip: In problems involving consecutive events (like heads in coin tosses), using pattern recognition and breaking the problem into smaller cases simplifies the solution.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Probability
Combinatorics
Sequences

Formulas

Total number of outcomes for n tosses of a coin: 2^n
Probability formula: P(Event) = (Number of favorable outcomes) / (Total number of outcomes)

Theorems

Basic Probability Theorem
Combinatorics for counting sequences

Suitable Grade Level

Grades 10-12